Warning habitats due to climate change: effects of streamflow and temperature changes at the rear edge of the distribution of a coldwater fish.

Santiago Saez, Jose Maria; Muñoz-Mas, Rafael; Solana Gutierrez, Joaquin; García de Jalón Lastra, Diego; Alonso González, Carlos; Martínez-Capel, Francisco; Pórtoles, Javier; Monjo, Robert y Ribalaygua Batalla, Jaime (2017). Warning habitats due to climate change: effects of streamflow and temperature changes at the rear edge of the distribution of a coldwater fish.. "Hydrology and Earth System Sciences. Discussions" ; pp. 1-37. ISSN 1812-2116. https://doi.org/10.5194/hess-2016-606, 2017.

Descripción

Título: Warning habitats due to climate change: effects of streamflow and temperature changes at the rear edge of the distribution of a coldwater fish.
Autor/es:
  • Santiago Saez, Jose Maria
  • Muñoz-Mas, Rafael
  • Solana Gutierrez, Joaquin
  • García de Jalón Lastra, Diego
  • Alonso González, Carlos
  • Martínez-Capel, Francisco
  • Pórtoles, Javier
  • Monjo, Robert
  • Ribalaygua Batalla, Jaime
Tipo de Documento: Artículo
Título de Revista/Publicación: Hydrology and Earth System Sciences. Discussions
Fecha: Enero 2017
Materias:
Palabras Clave Informales: Cambio climático,Ecosistemas acuáticos, Especies de agua fría, Región Central de España.
Escuela: E.T.S.I. Montes, Forestal y del Medio Natural (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Climate change affects aquatic ecosystems altering temperature and precipitation patterns, and the rear edge of the distribution of cold-water species is especially sensitive to them. The main goal was to predict in detail how change in air temperature and precipitation will affect streamflow, the thermal habitat of a cold-water fish (brown trout, Salmo trutta 15 Linnaeus 1758), and their synergistic relationships at the rear edge of its natural distribution. 31 sites in 14 mountain rivers and streams were studied in Central Spain. Models at several sites were built using regression trees for streamflow, and a non-linear regression method for stream temperature. Nine global climate models simulations for the RCP4.5 and RCP8.5 (Representative Concentration Pathways) scenarios were downscaled to a local level. Significant streamflow reductions were predicted in all basins (max. -49 %) by the year 2099, showing seasonal differences between them. The stream temperatura 20 models showed relationships between models parameters, geology and hydrologic responses. Temperature was sensitive to the streamflow in one set of streams, and summer reductions contributed to additional stream temperature increases (max. 3.6ºC), although the most deep-aquifer dependent sites better resisted warming. The predicted increase in water temperatura reached up to 4.0ºC. Temperature and streamflow changes will cause a shift of the rear edge of the species distribution. However, geology conditioned the extent of this shift. Approaches like these should be useful in planning the prevention and 25 mitigation of negative effects of climate change by differentiating areas based on the risk level and viability of fish populations.

Más información

ID de Registro: 44301
Identificador DC: http://oa.upm.es/44301/
Identificador OAI: oai:oa.upm.es:44301
Identificador DOI [BETA]: 10.5194/hess-2016-606, 2017
URL Oficial: http://www.hydrol-earth-syst-sci-discuss.net/hess-2016-606/
Depositado por: Memoria Investigacion
Depositado el: 13 Mar 2017 09:08
Ultima Modificación: 13 Mar 2017 09:08
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